Highway runoff quality models for the protection of environmentally sensitive areas

Journal of Hydrology

Volumn 542, Issue , 2016, Pages 143-155

  Trenouth, William R ^a   Gharabaghi, Bahram ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Artificial neural networks; Heavy metals runoff; Highway runoff; Water quality prediction

Indexed keywords

COPPER; FORECASTING; HEAVY METALS; LEAD; NEURAL NETWORKS; RUNOFF; WATER QUALITY;

ENVIRONMENTALLY SENSITIVE AREAS; EVENT MEAN CONCENTRATIONS; HIGHWAY RUNOFF; METEOROLOGICAL FACTORS; REMOVAL EFFICIENCIES; STATISTICAL DISTRIBUTION; SUSPENDED SOLIDS; WATER QUALITY PREDICTIONS;

TRANSPORTATION;

ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); DATA SET; DESIGN; ENVIRONMENTAL PROTECTION; HEAVY METAL; POLLUTANT REMOVAL; QUALITATIVE ANALYSIS; ROAD; RUNOFF; STATISTICAL DISTRIBUTION; STORM; SUSPENDED LOAD; TRAFFIC EMISSION; WATER QUALITY; WATER TREATMENT;

AUSTRALIA; CANADA; CHINA; NEW ZEALAND; UNITED STATES;

EID: 84994651165     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.08.058     Document Type: Article

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